Data-Driven Prediction of Friction Hysteresis Loops Using Temporal Deep Learning Models
Friction hysteresis loops are critical for characterizing the nonlinear dynamic behavior of jointed structures. However, their complex nonlinear characteristics make efficient prediction challenging. In this study, a public high-frequency experimental dataset covering diverse operating conditions is adopted to investig...